Live personalization of mass classroom education using augmented reality

Abstract

An apparatus for personalization of teaching material presented via AR devices includes a processor and a memory that stores executable code. The executable code includes code to deliver teaching material to an AR device of a teacher when the teacher is using the teaching material to teach one or more students. The teaching material includes generic teaching material in an unmodified form. The executable code includes code to create personalized teaching material for a student of the one or more students. The personalized teaching material includes the generic teaching material modified based on learning concepts in a profile of the student that the student has previously experienced. The executable code includes code to deliver the personalized teaching material to an AR device of the student. The teacher views the generic teaching material in the teacher's AR device and the student views the personalized teaching material in the student's AR device.

What is claimed is: 
     
       1. An apparatus comprising:
 a processor; and 
 a memory that stores code executable by the processor to:
 deliver teaching material to an augmented reality (“AR”) device of a teacher in conjunction with the teacher using the teaching material to teach one or more students, the teaching material comprising generic teaching material in an unmodified form; 
 create personalized teaching material for a student of the one or more students, the personalized teaching material comprising the generic teaching material modified based on learning concepts in a profile of the student that the student has previously experienced; 
 deliver the personalized teaching material to an AR device of the student, 
 wherein the teacher views the generic teaching material in the AR device of the teacher and the student views the personalized teaching material in the AR device of the student; 
 identify which student of the one or more students is asking a question; and 
 deliver the personalized teaching material of the student asking the question to the AR device of the teacher and to the AR device of each student of the one or more students different than the student asking the question. 
 
 
     
     
       2. The apparatus of  claim 1 , further comprising code executable by the processor to store learning concepts previously experienced by the student in the profile of the student. 
     
     
       3. The apparatus of  claim 1 , wherein creating personalized teaching material for a student comprises extracting concepts from the teaching material using semantic analysis, aligning concepts extracted from the teaching material with the previously experienced learning concepts in the profile of the student and modifying the generic teaching material to conform to the previously experienced learning concepts. 
     
     
       4. The apparatus of  claim 1 , further comprising code executable by the processor to deliver a start teaching notification to the teacher in response to personalized teaching material being delivered to each of the one or more students and to enable the teacher to present the teaching material to the one or more students. 
     
     
       5. The apparatus of  claim 4 , further comprising code executable by the processor to synchronize material from the generic teaching material presented by the teacher with corresponding material from the personalized teaching material of each student. 
     
     
       6. The apparatus of  claim 1 , further comprising code executable by the processor to:
 identify which student of the one or more students is asking an additional question; and 
 switch the personalized teaching material being delivered to the AR devices of the teacher and the one or more students to deliver the personalized teaching material of the student asking the additional question to the AR device of the teacher and to the AR devices of the students of the one or more students different than the student asking the additional question. 
 
     
     
       7. The apparatus of  claim 1 , wherein identifying which student of the one or more students is asking a question comprises one or more of:
 using speech localization via one or more microphones in a classroom where the student is located; 
 synchronizing lip movement captured by a camera with audio of the question by the student asking the question; 
 identifying which microphone of microphones of AR devices of the students has a highest sound level; and 
 processing speech of the question to determine one or more concepts of the question and aligning the concepts of the question with concepts used to personalize the teaching material and identifying the student asking the question based on the alignment of the concepts of the question with previously experienced learning concepts in the profile of the student. 
 
     
     
       8. A computer-implemented method comprising:
 delivering teaching material to an augmented reality (“AR”) device of a teacher in conjunction with the teacher using the teaching material to teach one or more students, the teaching material comprising generic teaching material in an unmodified form; 
 creating personalized teaching material for a student of the one or more students, the personalized teaching material comprising the generic teaching material modified based on learning concepts in a profile of the student that the student has previously experienced; 
 delivering the personalized teaching material to an AR device of the student, 
 wherein the teacher views the generic teaching material in the AR device of the teacher and the student views the personalized teaching material in the AR device of the student; 
 identifying which student of the one or more students is asking a question; and 
 delivering the personalized teaching material of the student asking the question to the AR device of the teacher and to the AR device of the student of the one or more students different than the student asking the question. 
 
     
     
       9. The computer-implemented method of  claim 8 , further comprising storing learning concepts previously experienced by the student in the profile of the student. 
     
     
       10. The computer-implemented method of  claim 8 , wherein creating personalized teaching material for a student comprises extracting concepts from the teaching material using semantic analysis, aligning concepts extracted from the teaching material with the previously experienced learning concepts in the profile of the student and modifying the generic teaching material to conform to the previously experienced learning concepts. 
     
     
       11. The computer-implemented method of  claim 8 , further comprising delivering a start teaching notification to the teacher in response to personalized teaching material being delivered to each of the one or more students and to enable the teacher to present the teaching material to the one or more students. 
     
     
       12. The computer-implemented method of  claim 8 , further comprising synchronizing material from the generic teaching material presented by the teacher with corresponding material from the personalized teaching material of each student. 
     
     
       13. The computer-implemented method of  claim 8 , further comprising:
 identifying which student of the one or more students is asking an additional question; and 
 switching the personalized teaching material being delivered to the AR devices of the teacher and the one or more students to deliver the personalized teaching material of the student asking the additional question to the AR device of the teacher and to the AR device of the students of the one or more students different than the student asking the additional question. 
 
     
     
       14. The computer-implemented method of  claim 8 , wherein identifying which student of the one or more students is asking a question comprises one or more of:
 using speech localization via one or more microphones in a classroom where the student is located; 
 synchronizing lip movement captured by a camera with audio of the question by the student asking the question; 
 identifying which microphone of microphones of AR devices of the students has a highest sound level; and 
 processing speech of the question to determine one or more concepts of the question and aligning the concepts of the question with concepts used to personalize the teaching material and identifying the student asking the question based on the alignment of the concepts of the question with previously experienced learning concepts in the profile of the student. 
 
     
     
       15. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
 deliver teaching material to an augmented reality (“AR”) device of a teacher in conjunction with the teacher using the teaching material to teach one or more students, the teaching material comprising generic teaching material in an unmodified form; 
 create personalized teaching material for a student of the one or more students, the personalized teaching material comprising the generic teaching material modified based on learning concepts in a profile of the student that the student has previously experienced; 
 deliver the personalized teaching material to an AR device of the student, 
 wherein the teacher views the generic teaching material in the AR device of the teacher and the student views the personalized teaching material in the AR device of the student; 
 identify which student of the one or more students is asking a question; and 
 deliver the personalized teaching material of the student asking the question to the AR device of the teacher and to the AR device of the student of the one or more students different than the student asking the question. 
 
     
     
       16. The computer program product of  claim 15 , further comprising code executable by the processor to store learning concepts previously experienced by the student in the profile of the student.